Abstract
As one of the unique cultural products and representative symbols of China, Yixing teapots have a unique aesthetic connotation. The cultural and creative products of Yixing teapot have played a positive role in the inheritance of intangible cultural heritage, however, they still face higher requirements in terms of design innovation and adaptation to users’ aesthetic needs. Although several methods of evaluating and measuring user experience have been established, such as subjective reporting and questionnaire surveys, designers still need objective methods to evaluate users’ perception and response for Yixing teapots modeling. This paper aims to combine virtual reality and eye tracking technology to recognize users’ aesthetic preference for the 3D modeling of Yixing teapots. Eye tracking signals were recorded in a preference categorization task, and users’ aesthetic preference was analyzed via eye tracking data and users’ subjective evaluation. The results showed that the fixation count and time of first fixation in different AOIs had significant effects on users’ subjective evaluation. The study provides an objective method in recognizing users’ aesthetic preference, and can provide practical reference for the future modeling design of Yixing teapots.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chow, S.-K., Chan, K.-L.: Reconstruction of photorealistic 3D model of ceramic artefacts for interactive virtual exhibition. J. Cult. Herlt. 10(2), 161–173 (2009)
Zhu, S.S., Dong, Y.N.: Evaluation of liangzhu cultural artifacts based on perceptual image. Appl. Mech. Mater. 2187 (2013). https://doi.org/10.4028/www.scientific.net/AMM.268-270.1986
Ariely, D., Berns, G.S.: Science and society neuromarketing: the hope and hype of neuroimaging in business. Nat. Rev. Neurosci. 11(4), 284–292 (2010)
Guo, F., et al.: Evaluating users’ preference for the appearance of humanoid robots via event-related potentials and spectral perturbations. Behav. Inform. Technol. 1–17 (2021)
Schifferstein, H.N.J., Desmet, P.M.A.: The effects of sensory impairments on product experience and personal well-being. Ergonomics 50(12), 2026–2048 (2007)
Ho, C.H., Lu, Y.N.: Can pupil size be measured to assess design products? Int. J. Ind. Ergonm. 44(3), 436–441 (2014)
Moshagen, M., Thielsch, M.T.: Facets of visual aesthetics. Int. J. Hum Comput Stud. 68(10), 689–709 (2010)
Fenko, A., Schifferstein, H., Hekkert, P.: Looking hot or feeling hot: What determines the product experience of warmth? Mater. Des. 31(3), 1325–1331 (2010)
Guo, F., et al.: Can eye-tracking data be measured to assess product design? Visual attention mechanism should be considered. Int. J. Ind. Ergonm. 53, 229–235 (2016)
Meissner, M., et al.: Combining virtual reality and mobile eye tracking to provide a naturalistic experimental environment for shopper research. J. Bus. Res. 100, 445–458 (2019)
Luo, S., et al.: Sit down and rest: use of virtual reality to evaluate preferences and mental restoration in urban park pavilions. Landsc. Urban Plan. 220, 104336 (2022)
Purschke, F., Schulze M., Zimmermann P.: Virtual reality-new methods for improving and accelerating the development process in vehicle styling and design, pp. 789–797. IEEE Hannover, Germany (1998)
Chicchi Giglioli, I.A., et al.: A novel integrating virtual reality approach for the assessment of the attachment behavioral system. Front. Psychol. 8, 959 (2017)
Jacob, R.J.K., et al.: Eye tracking in human-computer iteraction and usability research: ready to deliver the promises. In: The Mind’s Eye, pp. 573–605 (2013)
Henderson, J.M.: Eye movements and scene perception (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Chen, W., Wang, H. (2022). Combining Virtual Reality and Eye Tracking to Recognize Users’ Aesthetic Preference for Product Modeling. In: Soares, M.M., Rosenzweig, E., Marcus, A. (eds) Design, User Experience, and Usability: UX Research, Design, and Assessment. HCII 2022. Lecture Notes in Computer Science, vol 13321. Springer, Cham. https://doi.org/10.1007/978-3-031-05897-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-031-05897-4_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-05896-7
Online ISBN: 978-3-031-05897-4
eBook Packages: Computer ScienceComputer Science (R0)